4 docs tagged with "tutorial"

Build, deploy, and run your first container application on NE503 from scratch — the complete closed loop from writing code to Web Console verification.

This document details the model training and deployment workflow for the NE301 series AI smart camera. It covers setting up a YOLO training environment, model training, exporting to TFLite format, model quantization and evaluation, and finally deploying the quantized model to the NE301 device using either Makefile build or Web UI upload methods, helping developers achieve efficient edge AI model deployment.

Deploy a real AI inference application Person Detection on NE503, mastering Python SDK calls, model and video stream discovery, permission configuration, and Web console verification.

NeoEyes NE503 Quick Start Guide covering device installation, first-time connection and configuration, camera verification, AI application deployment, system integration, device management, and device maintenance to help you go from unboxing to basic deployment.